arXiv subjects

Mahyuddin K. M. Nasution

Publications and source records attributed to Mahyuddin K. M. Nasution.

At least 19 recordsLinked to original sources

arXiv2022

Computer Science

Possible for science itself, conceptually, to have and will understand differently, let alone science also seen as technology, such as computer science. After all, science and technology are viewpoints diverse by either individual, community, or social. Generally, it depends on socioeconomic capabilities. So it is with computer science has become a phenomenon and fashionable, where based on the stream of documents, various issues arise in either its theory or implementation, adapting different communities, or designing curriculum holds in the education system.

cs.CY↗

arXiv2022

Social Network Mining (SNM): A Definition of Relation between the Resources and SNA

Social Network Mining (SNM) has become one of the main themes in big data agenda. As a resultant network, we can extract social network from different sources of information, but the information sources were growing dynamically require a flexible approach. To determine the appropriate approach needs the data engineering in order to get the behavior associated with the data. Each social network has the resources and the information source, but the relationship between resources and information sources requires explanation. This paper aimed to address the behavior of the resource as a part of social network analysis (SNA) in the growth of social networks by using the statistical calculations to explain the evolutionary mechanisms. To represent the analysis unit of the SNA, this paper only considers the degree of a vertex, where it is the core of all the analysis in the SNA and it is basic for defining the relation between resources and SNA in SNM. There is a strong effect on the growth of the resources of social networks. In total, the behavior of resources has positive effects. Thus, different information sources behave similarly and have relations with SNA.

cs.SI↗

arXiv2022

Social Network Extraction Unsupervised

In the era of information technology, the two developing sides are data science and artificial intelligence. In terms of scientific data, one of the tasks is the extraction of social networks from information sources that have the nature of big data. Meanwhile, in terms of artificial intelligence, the presence of contradictory methods has an impact on knowledge. This article describes an unsupervised as a stream of methods for extracting social networks from information sources. There are a variety of possible approaches and strategies to superficial methods as a starting concept. Each method has its advantages, but in general, it contributes to the integration of each other, namely simplifying, enriching, and emphasizing the results.

cs.SI↗

arXiv2016

Extracted Social Network Mining

In this paper we study the relationship between the resources of social networks by exploring the Web as big data based on a simple search engine. We have used set theory by utilizing the occurrence and co-occurrence for defining the singleton or doubleton spaces of event in a search engine model, and then provided them as representation of social actors and their relationship in clusters. Thus, there are behaviors of social actors and their relation based on Web.

cs.SI↗

arXiv2016

Extracting Keyword for Disambiguating Name Based on the Overlap Principle

Name disambiguation has become one of the main themes in the Semantic Web agenda. The semantic web is an extension of the current Web in which information is not only given well-defined meaning, but also has many purposes that contain the ambiguous naturally or a lot of thing came with the overlap, mainly deals with the persons name. Therefore, we develop an approach to extract keywords from web snippet with utilizing the overlap principle, a concept to understand things with ambiguous, whereby features of person are generated for dealing with the variety of web, the web is steadily gaining ground in the semantic research.

cs.IR↗

arXiv2016

Social Network Extraction: Superficial Method and Information Retrieval

Social network has become one of the themes of government issues, mainly dealing with the chaos. The use of web is steadily gaining ground in these issues. However, most of the web documents are unstructured and lack of semantic. In this paper we proposed an Information Retrieval driven method for dealing with heterogeneity of features in the web. The proposed solution is to compare some approaches have shown the capacity to extract social relation: strength relations and relations based on online academic database.

cs.IR↗

arXiv2013

Simple Search Engine Model: Selective Properties

In this paper we study the relationship between query and search engine by exploring the selective properties based on a simple search engine. We used the set theory and utilized the words and terms for defining singleton and doubleton in the event spaces and then provided their implementation for proving the existence of the shadow of micro-cluster.

cs.IR↗

arXiv2013

Terrorist Network: Towards An Analysis

Terrorist network is a paradigms to understand the terrorism. The terrorist involves a lot of people, and among them are involved as perpetrators, but on the contrary it is very difficult to know who they are caused by lack of information. Network structure is used to reveal other things about the terrorist beyond the ability of social sciences.

cs.SI↗

arXiv2013

Knowledge Sharing: A Model

We know anything because we learn about it, there is anything we ever share about it, but now a lot of media that can represent how it happened as infrastructure of the knowledge sharing. This paper aims to introduce a model for understanding a problem in knowledge sharing based on interaction.

cs.SI↗

arXiv2012

Simple Search Engine Model: Adaptive Properties for Doubleton

In this paper we study the relationship between query and search engine by exploring the adaptive properties for doubleton as a space of event based on a simple search engine. We employ set theory for defining doubleton and generate some properties.

cs.IR↗

arXiv2012

Simple Search Engine Model: Adaptive Properties

In this paper we study the relationship between query and search engine by exploring the adaptive properties based on a simple search engine. We used set theory and utilized the words and terms for defining singleton space of event in a search engine model, and then provided the inclusion between one singleton to another.

cs.IR↗

arXiv2012

Keyword Extraction for Identifying Social Actors

Identifying the social actor has become one of tasks in Artificial Intelligence, whereby extracting keyword from Web snippets depend on the use of web is steadily gaining ground in this research. We develop therefore an approach based on overlap principle for utilizing a collection of features in web snippets, where use of keyword will eliminate the un-relevant web pages.

cs.IR↗

arXiv2012

Generating Strategic IS: Towards the Winning Strategy

In modern era, the role of information system in organization has been taken many discussions. The models of information system are constantly updated. However, most of them can not face the changing world. This paper discusses an approach to generating of strategic information system based on features in organization. We proposed an approach by using disadvantages in some tools of analysis whereby the lack of analysis appear as behaviour of relation between organisation and the world.

cs.OH↗

arXiv2012

A Methodology to Extract Social Network from the Web Snippet

The Web has been chosen as a basic infrastructure to gain the social structure information, through the social network extraction, from all over the world. However, most of the web documents are unstructured and lack of semantics. Moreover, that network is subject to all kinds of changes and dynamics, and a network can be very complex due to the large number of nodes and links Web contains. In this paper, we discuss a methodology that meant to assists in extracting and modeling the social network from Web snippet. As the manual social network extraction of web documents is impractical and unscalable, and fully automated extraction are still at the very early stage to be implemented, we proposed a (semi)-automatic extraction based on the superficial methods.

cs.SI↗

arXiv2012

Kolmogorov Complexity: Clustering Objects and Similarity

The clustering objects has become one of themes in many studies, and do not few researchers use the similarity to cluster the instances automatically. However, few research consider using Kommogorov Complexity to get information about objects from documents, such as Web pages, where the rich information from an approach proved to be difficult to. In this paper, we proposed a similarity measure from Kolmogorov Complexity, and we demonstrate the possibility of exploiting features from Web based on hit counts for objects of Indonesia Intellectual.

cs.CC↗

arXiv2012

Algebraic on Magic Square of Odd Order n

This paper aims to address the relation between a magic square of odd order $n$ and a group, and their properties. By the modulo number $n$, we construct entries for each table from initial table of magic square with large number $n^2$. Generalization of the underlying idea is presented, we obtain unique group, and we also prove variants of the main results for magic cubes.

cs.DM↗

arXiv2012

The Ontology of Knowledge Based Optimization

Optimization has been becoming a central of studies in mathematic and has many areas with different applications. However, many themes of optimization came from different area have not ties closing to origin concepts. This paper is to address some variants of optimization problems using ontology in order to building basic of knowledge about optimization, and then using it to enhance strategy to achieve knowledge based optimization.

math.OC↗

arXiv2012

Probabilistic Generative Model of Social Network Based on Web Features

In this paper, we develop a dynamic framework for the modeling and analysis of social networks to work with web documents. We illustrate the model with features of web, design a form to analyze relationships of attributes as a modality of social structure, and create the optimization of generative model based on Bayes Theorem.

math.PR↗